Data Architect Manager

About the role

Are you seeking purpose, challenge, and talented colleagues? We develop leaders and empower our associates to use their skills and talents to positively impact the world through service – to our coworkers, clients, and communities. We subscribe to the mission of “empowering our people to impact communities by bringing clients’ visions to life,” so if this speaks to you, let’s connect!

At CESO, a Data Architect Manager is responsible for leading CESO’s enterprise data architecture strategy, standards, and technical direction while managing and developing the data architecture function. This position provides technical leadership, as well as architectural oversight for scalable, secure, governed, and AI-ready enterprise data platforms supporting business operations, reporting, analytics, integrations, and emerging technologies. The position partners with business and technology stakeholders to ensure solutions align with CESO's technology strategy, data governance requirements, security standards, and business objectives.

Primary Responsibilities - Lead the development, implementation, and ongoing evolution of CESO's enterprise data architecture strategy, standards, frameworks, design patterns, and technology roadmap.

- Manage, mentor, and develop Data Architects and other assigned data professionals, including establishing priorities, providing technical direction, supporting professional development, and promoting consistent architecture and engineering practices.

- Lead the design and governance of logical, physical, dimensional, and semantic data models and enterprise database architectures supporting business applications, integrations, reporting, analytics, and AI initiatives.

- Provide architectural oversight for enterprise data integration solutions, including APIs, ELT/ETL processes, cloud data platforms, data pipelines, and reporting environments.

- Partner with Data Governance leadership, business data owners, and data stewards to establish and operationalize standards for data quality, ownership, stewardship, classification, retention, lineage, metadata, and appropriate use.

- Establish architecture review practices to ensure data solutions align with enterprise architecture standards, security requirements, governance policies, privacy requirements, and business objectives.

- Oversee enterprise data architecture documentation, including architecture diagrams, data models, data catalogs, lineage, technical standards, design decisions, and reference architectures.

- Establish database and platform architecture, including scalability, performance optimization, indexing, partitioning, high availability, backup, disaster recovery, and business continuity requirements.

- Lead the architectural development of AI-ready enterprise data platforms supporting business intelligence, advanced analytics, machine learning, Microsoft Copilot, automation, and future artificial intelligence initiatives.

- Coordinate with Data Engineers, application teams, infrastructure, cybersecurity, analytics resources, consultants, and technology partners to ensure successful implementation of enterprise data solutions.